A federated privacy-preserving platform for solving data collaboration challenges. From discovering and evaluating third-party datasets to running data consortia, training advanced AI models, and much more.
How we deploy
Get up and running in minutes with Bitfount's easy-to-deploy distributed data science platform. Use tools you already have to perform tasks against data you're just discovering.
Other federated frameworks are cumbersome and complicated. Bitfount handles all the complexity so you can focus on getting things done.
Simple Python API (also available as Docker image).
SaaS platform for access controls, account administration & more.
Compatible with organisational IT firewalls.
Single Sign-On (SSO) as standard.
Bitfount handles all fully-encrypted orchestration. Zero trust needed.
Comprehensive user-friendly documentation.
Get started now: Sign up →
We've worked hard to make it easy to get up and running without compromising on functionality and security.
Turnkey setup and integrations. Plays nicely with your existing tools.
Support for your custom models and algorithms.
Extensible plugins allow you to connect data from (almost) any source.
Apply privacy-preservation without needing to be a cryptography whiz.
Want to see how? Book a demo →
We're delighted to welcome you to our open source community where you can collaborate on remote and privacy-preserving data science projects with others in the community.
Create a Bitfount Hub account and install the bitfount package during your coffee break. Once installed, check out our comprehensive tutorials to get started with distributed data science.
Deploy now →
Whether you're on the granting or receiving end, safe data access has never been so easy. Bitfount provides several methods for connecting data sources and enforces granular access controls to fit your needs.
Once data is connected, it's the data scientists' time to shine. Whether you're running basic private SQL queries or training deep neural networks, Bitfount helps you improve outcomes from sensitive data collaboration.
